CUDA programming to code ML algorithms from scratch
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Updated
Sep 22, 2024 - Cuda
CUDA programming to code ML algorithms from scratch
Some general algorithms implemented in cuda.
Learn cuda step-by-step starting from 0 with these simple and free code examples (comments are provided!)
This is an open source program based on NVIDIA cuda, which includes two-dimensional and three-dimensional VTI media forward simulation and reverse time migration imaging, two-dimensional TTI media reverse time migration imaging, and ADCIGs extraction of the above media]
A performance comparison of standard matrix functions between CPU and GPU using Nvidia CUDA on Visual Studio using C++
Ray marching renderer of the 3D mandelbox fractal, accelerated with CUDA GPU code
Implementation of LeNet-1 Forward Propagation algorithm in CUDA C and profiling of the possible optimisation solutions
aes on a device - Nvidia Graphics Card -
CUDA C simple application for Nvidia's GPU
CUDA Programming Practices
Code from my Tutorial series on Hive about Nvidia's CUDA API
RMAT Graph Generator for NVIDIA CUDA
Calculate minus of 2D arrays on GPU
Calculate mean of 2D arrays on GPU
An implementation of Principal Direction Divisive Partitioning in CUDA. University project for the course "Software & Programming of High Perfomance Systems". Course Code: CEID_NE5407
University of Birmingham - Distributed and Parallel Computing
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